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Low Resource Neural Machine Translation
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From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation
Low-resource neural machine translation with morphological modeling
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution
Direct Neural Machine Translation with Task-level Mixture of Experts models
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
COMET-QE and Active Learning for Low-Resource Machine Translation
Low-resource Neural Machine Translation with Cross-modal Alignment
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation
Cost-Effective Training in Low-Resource Neural Machine Translation
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
A Survey on Low-Resource Neural Machine Translation
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Extremely low-resource machine translation for closely related languages
Data Augmentation for Sign Language Gloss Translation
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
Low-Resource Neural Machine Translation for Southern African Languages
The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data
Optimizing Transformer for Low-Resource Neural Machine Translation
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task
Enhanced back-translation for low resource neural machine translation using self-training
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
Language Model Prior for Low-Resource Neural Machine Translation
Low Resource Neural Machine Translation: A Benchmark for Five African Languages
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer
Improving Back-Translation with Uncertainty-based Confidence Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.